Act on your customers' voices in Zoho CRM

Act on your customers' voices in Zoho CRM

Dear Customers,

We hope you're well!

We are super excited to present a pivotal addition to VoC in Zoho CRM—the ability to act!

Customer feedback is directly proportional to customer experience, and in this customer-driven market, that feedback has a powerful influence on the growth and perception of the brand. Voice of the customer—both as a strategy and as a tool—taps into this demand.

As you might know, VoC in Zoho CRM gathers customer feedback from six channels, aggregates them, and subjects them to various analyses. As a result, you can scrutinize their feedback closely, get their pulse, and develop personas based on them. But we've realized that no matter how much these insights can benefit your business, action speaks louder.

Introducing VoC into advanced filters

Customers express feedback in expectation of spurring an action. This action can be a reaction to their complaints, a response to their queries, or a reconciliation of their grievances; whatever the case, actions are time-bound and vary based on the type of feedback received. That is, an action can't be standard for all customers and for all types of feedback. Thus, to be contextual across all settings and times, wse've incorporated VoC attributes like events, keywords, and responses in modules' advanced filters.

With this addition, you can filter records that have mentioned specific keywords, recorded a progression in their process, or expressed their contentment or discontentment, and then group them and develop strategies. You can encourage upselling, retain customers on the verge of churning, provide contextual information at the convergence stage, and more by performing mass actions on filtered records, like sending mass emails and making mass updates for records.

How is this achieved?
Recently, we announced an enhancement called cross-module filtering, which enables you to filter modules using values from related modules. For instance, you can filter contacts based on customer context, such as those whose associated deals are in the Negotiation stage.
We've deployed the same functionality so you can find records with certain attributes. VoC aggregates customer feedback as related modules based on their properties. These related modules are not visible to users and are used to conduct various analyses. Information from these related modules are used as filter attributes within the modules for which you've created your VoC dashboards.

Below are the related modules and their respective attributes being used in the filter:
VoC events: VoC events are occurrences or actions observed in customer records in relation to their responses. Whenever a customer triggers a record action, VoC will log that as an event and assess if there are any responses during or after a response to understand the response's relevance to the customer's actions. Unlike field filters (churn, recommendations, leads, deals, and activities), this filter displays customer records based on their actions during or after their response. Whether they're positive or negative, this helps develop contextual responses to customers' actions.

Below are events you can use to filter your records:
  • Churn events: The churn event filter yields records that churned out during or after a response. You can identify elements of their responses that may have indicated churn and develop measures to retain other records at risk of churning.
  • Lead events (applicable to the Leads module): Filter leads that were converted or lost during or after a response using this attribute.
  • Deal events (applicable to any sales module that are mapped as primary module ): Filter deals that have been won or lost during or after a response using this attribute.
  • Recommendation events: Filter records whose transactions have been successful as a result of cross-sell recommendations after a response using this attribute.
  • Call performance events: Filter customers to whom issue resolutions have been provided or to whom commitment or agreements have been made.
 
Alternatively, you can also filter records based on event times—for example, to determine when exactly after a response did the customer perform an action. This is another attribute that can help you identify behavioral links to particular actions.

VoC responses: Responses include replies or reactions gathered from feedback. You can filter records based on recorded emotions, intents, response times, response types, sentiments, and survey NPS scores, based on the channels you've integrated, as well as customers who aren't content with your brand, those who are planning to make purchase, or those who have submitted poor NPS scores. It's important to give priority to the insights derived from these responses, as these are customers that are either ripe for converting or at risk of churning.


VoC keywords: Keywords are notable terms mostly used by customers. Keyword usage can help determine customers' sentiments and intentions with regard to your brand, the purpose of their correspondence, and their purchase decisions.
You can filter records based on the keyword(s), keyword intent (purchase, complaint, query, etc.), keywords mentioned by agents (users from your organization), keywords mentioned by customers or agents, keyword sentiments (positive, negative, or neutral), and keyword types (general or competitor).

InfoNote: We've renamed the previous related module, VoC Inferences, to VoC Keywords to provide a clearer description of its function.
Let's look at a scenario:


For a customer-centric organization, this addition adds great value. You can identify your customers based on their sentiments, create exclusive targeting strategies to promote retention and mitigate churn, and optimize customer experience at scale.

We hope you use these VoC filter attributes and carry on with your customer correspondences with improved context!

Idea
Release plan: This filter parameters are available for all users in all DCs.

That's all folks! Thanks!

Kind regards,
Saranya Balasubramanian
Marketing - Zoho CRM

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